Proceedings Paper

Remote sensing image contains much information about the objects on the earth's surface e.g. vegetation. Through some transactions, those images can be changed to be more clear and more propitious for observing and analyzing. This paper adopts the correspondence analysis algorithm to process the TM image for composition estimation of cotton. By using this method, cotton areas are extracted from other objects and the characteristic TM bands of cotton are found. It also validated the effectiveness of correspondence analysis algorithm. This method can be applied in vegetation estimation.